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Distributed interaction Design
Abdullah X. Ali
  • Jun 26, 2019
  • 1 min

Distributed interaction Design

My Ph.D. dissertation work is about Distributed User-Driven Design. I am working to answer the following questions: 1. Can we get people from all over the world to help us design future technologies? 2. How can we deal with subjective design input at scale? 3. How good are these user-driven designs? I have formulated the Distributed Interaction Design process and built the CROWDESIGN Engine—an online research platform that enables technology creators to follow this design met
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Crowdsensus
Abdullah X. Ali
  • Aug 6, 2018
  • 1 min

Crowdsensus

About End-user elicitation studies are a popular design method, but their data require substantial time and effort to analyze. In this paper, we present Crowdsensus, a crowd-powered tool that enables researchers to efficiently analyze the results of elicitation studies using subjective human judgment and automatic clustering algorithms. In addition to our own analysis, we asked six expert researchers with experience running and analyzing elicitation studies to analyze an endu
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PINATA
Abdullah Ali
  • Aug 2, 2018
  • 1 min

PINATA

About PINATA is a Chrome browser plug-in which detects when users are having pointing difficulties, notifies them, and offer to adapt their browsing experience. Research Areas Design; AI; Accessibility. My Involvement I developed the Chrome plug-in using in Javascript. I set up a PHP server to handle storing users' pointing data and run them through a Weka classifier to identify pointing difficulty. I designed three different in-browser notification designs with varying degre
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Dytective
Abdullah Ali
  • Aug 2, 2018
  • 1 min

Dytective

About Dytective is a web-based game that detects the risk of having dyslexia. Research Areas Design; AI; Accessibility. My Involvement I designed and built the Dytective game with 18 different levels using HTML and Javascript. I set up a server running PHP and MySQL database to store data and export it for analysis to classify users performance patterns consistent with those of people with dyslexia. Affiliation Carnegie Mellon University. Awards 2016 UAE AI and Robotics for g
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